def init():
timestamp=datetime.datetime.now().strftime("%Y-%m-%d-%H")
g_conf.read("../conf/ad_svr.conf")
logging.basicConfig(level=logging.INFO,
format='%(asctime)s %(filename)s[line:%(lineno)d] %(levelname)s %(message)s',
datefmt='[%Y-%m_%d %H:%M:%S]',
filename='../log/ad_svr.'+timestamp+'.log',
filemode='a')
service_para=g_conf.get("gearman","para")
service_name=g_conf.get("gearman","name")
process_num=int(g_conf.get("gearman","process_num"))
service_para=service_para.split(',')
#load adx map
adx_id_obj=adx_id_map(g_conf)
global g_adx_interface
g_adx_interface=adx_interface_t(adx_id_obj,g_conf)
global g_invert_idx_mgr
g_invert_idx_mgr={}
ridx_name_list=g_conf.get("index","ridx_list").split(",")
for name in ridx_name_list:
obj=inverted_index_t()
obj.load_file("../index/"+name+".ridx")
g_invert_idx_mgr[name]=obj
#print obj.inverted_dict,name
global g_idx_mgr
g_idx_mgr={}
idx_name_list=g_conf.get("index","idx_list").split(",")
for name in idx_name_list:
obj=index_t()
obj.load_file("../index/"+name+".idx")
g_idx_mgr[name]=obj
#init ip region
global g_ip_obj
g_ip_obj=ip_parse_t(g_conf.get("file","ip_table"),g_conf.get("file","ip_region"))
#init id obj
global g_id_obj
g_id_obj=transform_id_t(g_conf.get("file","fea_id_file"))
#init fea obj
extract_fea_obj=extract_feature_t(g_ip_obj,g_id_obj)
#init model obj
model_obj=predict_model_t(g_conf.get("file","model"))
#init idea operator
operator_obj=idea_operator_t(g_conf.get("file","idea_operate"))
#init rank bit module
global g_rank_bid
g_rank_bid=rank_bid_t(extract_fea_obj,model_obj,operator_obj)
logging.info("init complete")
#init filter
global g_filter_obj
g_filter_obj=filter_t(g_invert_idx_mgr,g_conf)
return [service_para,service_name,process_num]
def process(input_file, fea_output_file, ml_file):
input_fp = open(input_file, "r")
fea_fp = open(fea_output_file, "w")
ml_fp = open(ml_file, "w")
global g_ip_obj
global g_id_obj
g_ip_obj = ip_parse_t("../data/ip.all", "../data/region.txt")
g_id_obj = transform_id_t(g_conf.get("file", "fea_id_file"))
line_cnt = 0
single_feature_list = ["region", "app", "time", "app_type", "manufacture"]
#combine_feature_list=["combine-region-time","combine-app-region"]
#combine_feature_list=["combine-region-time"]
combine_feature_list = []
header = "click\tconsume\t" + "\t".join(
single_feature_list) + "\t" + "\t".join(combine_feature_list) + "\n"
fea_fp.write(header)
for line in input_fp:
line_cnt += 1
line = line.rstrip("\r\n").split("\t")
click = int(line[2])
consume = int(line[3])
time_str = line[1]
req_json = line[4]
click = int(line[2])
try:
req_dict = json.loads(req_json)
fea_json_dict = json.loads(req_dict["request"])
except:
logging.warning("load json failed[%d]" % (line_cnt))
continue
fea_str = ""
feature_value_dict = extract_feature(time_str, fea_json_dict,
single_feature_list,
combine_feature_list)
for feature in single_feature_list:
fea_str += feature_value_dict[feature] + "\t"
for feature in combine_feature_list:
fea_str += feature_value_dict[feature] + "\t"
fea_str = fea_str.rstrip("\t")
fea_fp.write("%d\t%d\t%s\n" % (click, consume, fea_str))
#transform to id
fea_id_list = []
fea_id_str = ""
list_temp = fea_str.split("\t")
for fea_name in list_temp:
fea_id = g_id_obj.get_id(fea_name)
fea_id_list.append(fea_id)
fea_id_list.sort()
for fea_id in fea_id_list:
fea_id_str += str(fea_id) + ":1" + " "
fea_id_str = fea_id_str.rstrip(" ")
ml_fp.write("%d %s\n" % (click, fea_id_str))
def process(input_file, fea_output_file, ml_file):
input_fp = open(input_file, "r")
fea_fp = open(fea_output_file, "w")
ml_fp = open(ml_file, "w")
global g_ip_obj
global g_id_obj
g_ip_obj = ip_parse_t("../data/ip.all", "../data/region.txt")
g_id_obj = transform_id_t(g_conf.get("file", "fea_id_file"))
line_cnt = 0
single_feature_list = ["region", "app", "time", "app_type", "manufacture"]
# combine_feature_list=["combine-region-time","combine-app-region"]
# combine_feature_list=["combine-region-time"]
combine_feature_list = []
header = "click\tconsume\t" + "\t".join(single_feature_list) + "\t" + "\t".join(combine_feature_list) + "\n"
fea_fp.write(header)
for line in input_fp:
line_cnt += 1
line = line.rstrip("\r\n").split("\t")
click = int(line[2])
consume = int(line[3])
time_str = line[1]
req_json = line[4]
click = int(line[2])
try:
req_dict = json.loads(req_json)
fea_json_dict = json.loads(req_dict["request"])
except:
logging.warning("load json failed[%d]" % (line_cnt))
continue
fea_str = ""
feature_value_dict = extract_feature(time_str, fea_json_dict, single_feature_list, combine_feature_list)
for feature in single_feature_list:
fea_str += feature_value_dict[feature] + "\t"
for feature in combine_feature_list:
fea_str += feature_value_dict[feature] + "\t"
fea_str = fea_str.rstrip("\t")
fea_fp.write("%d\t%d\t%s\n" % (click, consume, fea_str))
# transform to id
fea_id_list = []
fea_id_str = ""
list_temp = fea_str.split("\t")
for fea_name in list_temp:
fea_id = g_id_obj.get_id(fea_name)
fea_id_list.append(fea_id)
fea_id_list.sort()
for fea_id in fea_id_list:
fea_id_str += str(fea_id) + ":1" + " "
fea_id_str = fea_id_str.rstrip(" ")
ml_fp.write("%d %s\n" % (click, fea_id_str))
def process(input_file, fea_output_file, ml_file, type):
input_fp = open(input_file, "r")
fea_fp = open(fea_output_file, "w")
ml_fp = open(ml_file, "w")
global g_ip_obj
global g_id_obj
g_ip_obj = ip_parse_t("../data/ip.all", "../data/region.txt")
g_id_obj = transform_id_t(g_conf.get("file", "fea_id_file"))
line_cnt = 0
single_feature_list = ["region", "app", "time", "app_type", "manufacture"]
#combine_feature_list=["combine-region-time","combine-app-region"]
#combine_feature_list=["combine-region-time"]
combine_feature_list = []
header = "click\tdownload\tinstall\topen\tconsume\t" + "\t".join(
single_feature_list) + "\t" + "\t".join(combine_feature_list) + "\n"
fea_fp.write(header)
for line in input_fp:
line_cnt += 1
line = line.rstrip("\r\n").split("\t")
time_str = line[0]
try:
fea_json_dict = json.loads(line[2])
except:
logging.warning("load json failed[%d]" % (line_cnt))
continue
(fea_str, fea_id_str) = extract_feature(time_str, fea_json_dict,
single_feature_list,
combine_feature_list)
ad_action_dict = json.loads(line[1])
click = ad_action_dict["click"]
download = ad_action_dict["download"]
install = ad_action_dict["install"]
app_open = ad_action_dict["open"]
consume = ad_action_dict["cost"]
fea_fp.write("%d\t%d\t%d\t%d\t%d\t%s\n" %
(click, download, install, app_open, consume, fea_str))
#transform to id
if type == "train" and download == 1:
count = 5
else:
count = 1
for i in range(0, count):
ml_fp.write("%d %s\n" % (click, fea_id_str))
def process(input_file,fea_output_file,ml_file,type):
input_fp=open(input_file,"r")
fea_fp=open(fea_output_file,"w")
ml_fp=open(ml_file,"w")
global g_ip_obj
global g_id_obj
g_ip_obj=ip_parse_t("../data/ip.all","../data/region.txt")
g_id_obj=transform_id_t(g_conf.get("file","fea_id_file"))
line_cnt=0
single_feature_list=["region","app","time","app_type","manufacture"]
#combine_feature_list=["combine-region-time","combine-app-region"]
#combine_feature_list=["combine-region-time"]
combine_feature_list=[]
header="click\tdownload\tinstall\topen\tconsume\t"+"\t".join(single_feature_list)+"\t"+"\t".join(combine_feature_list)+"\n"
fea_fp.write(header)
for line in input_fp:
line_cnt+=1
line=line.rstrip("\r\n").split("\t")
time_str=line[0]
try:
fea_json_dict=json.loads(line[2])
except:
logging.warning("load json failed[%d]" %(line_cnt))
continue
(fea_str,fea_id_str)=extract_feature(time_str,fea_json_dict,single_feature_list,combine_feature_list)
ad_action_dict=json.loads(line[1])
click=ad_action_dict["click"]
download=ad_action_dict["download"]
install=ad_action_dict["install"]
app_open=ad_action_dict["open"]
consume=ad_action_dict["cost"]
fea_fp.write("%d\t%d\t%d\t%d\t%d\t%s\n" %(click,download,install,app_open,consume,fea_str))
#transform to id
if type=="train" and download==1:
count=5
else:
count=1
for i in range(0,count):
ml_fp.write("%d %s\n" %(click,fea_id_str))
def init():
timestamp = datetime.datetime.now().strftime("%Y-%m-%d-%H")
g_conf.read("../conf/ad_svr.conf")
logging.basicConfig(
level=logging.INFO,
format=
'%(asctime)s %(filename)s[line:%(lineno)d] %(levelname)s %(message)s',
datefmt='[%Y-%m_%d %H:%M:%S]',
filename='../log/ad_svr.' + timestamp + '.log',
filemode='a')
service_para = g_conf.get("gearman", "para")
service_name = g_conf.get("gearman", "name")
process_num = int(g_conf.get("gearman", "process_num"))
service_para = service_para.split(',')
#load adx map
adx_id_obj = adx_id_map(g_conf)
global g_adx_interface
g_adx_interface = adx_interface_t(adx_id_obj, g_conf)
global g_invert_idx_mgr
g_invert_idx_mgr = {}
ridx_name_list = g_conf.get("index", "ridx_list").split(",")
for name in ridx_name_list:
obj = inverted_index_t()
obj.load_file("../index/" + name + ".ridx")
g_invert_idx_mgr[name] = obj
#print obj.inverted_dict,name
global g_idx_mgr
g_idx_mgr = {}
idx_name_list = g_conf.get("index", "idx_list").split(",")
for name in idx_name_list:
obj = index_t()
obj.load_file("../index/" + name + ".idx")
g_idx_mgr[name] = obj
#init ip region
global g_ip_obj
g_ip_obj = ip_parse_t(g_conf.get("file", "ip_table"),
g_conf.get("file", "ip_region"))
#init id obj
global g_id_obj
g_id_obj = transform_id_t(g_conf.get("file", "fea_id_file"))
#init fea obj
extract_fea_obj = extract_feature_t(g_ip_obj, g_id_obj)
#init model obj
model_obj = predict_model_t(g_conf.get("file", "model"))
#init idea operator
operator_obj = idea_operator_t(g_conf.get("file", "idea_operate"))
#init rank bit module
global g_rank_bid
g_rank_bid = rank_bid_t(extract_fea_obj, model_obj, operator_obj)
logging.info("init complete")
#init filter
global g_filter_obj
g_filter_obj = filter_t(g_invert_idx_mgr, g_conf)
return [service_para, service_name, process_num]
